This course extends and deepens the material you learned in business analytics. We will apply these methods in more unstructured and diverse situations, introduce new analytics tools and methods (including Tableau Visualization, text mining, and random forests), and study a modern framework for overfitting reduction called regularization that underlies much of modern machine learning. This course does not require coding or knowledge beyond Business Analytics, but the mathematical sophistication level will be somewhat more advanced.
Division: Decision, Risk and Operations
Corequisite
Complete ALL of the following Courses
Spring 2024
B8103 - 001
Day(s)
Date(s)
Start/End Time
Room
-
Monday 01/22/2024 - 03/01/2024 2:20PM - 5:35PM Geffen 520
B8103 - 002
Day(s)
Date(s)
Start/End Time
Room
-
Tuesday 01/22/2024 - 03/01/2024 9:00AM - 12:15PM Geffen 390
B8103 - 003
Day(s)
Date(s)
Start/End Time
Room
-
Tuesday 01/22/2024 - 03/01/2024 2:20PM - 5:35PM Geffen 420
Spring 2023
B8103 - 001
Day(s)
Date(s)
Start/End Time
Room
-
Monday 01/23/2023 - 03/03/2023 2:00PM - 5:15PM Geffen 640
B8103 - 002
Day(s)
Date(s)
Start/End Time
Room
-
Tuesday 01/23/2023 - 03/03/2023 8:30AM - 11:45AM Geffen 420
B8103 - 003
Day(s)
Date(s)
Start/End Time
Room
-
Tuesday 01/23/2023 - 03/03/2023 2:00PM - 5:15PM Geffen 420